利用工程大肠杆菌全细胞催化剂高效生产γ-氨基丁酸

IF 3.4 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Enzyme and Microbial Technology Pub Date : 2023-12-13 DOI:10.1016/j.enzmictec.2023.110379
Fangfang Chang , Yuheng Wang , Jie Zhang, Tao Tu, Huiying Luo, Huoqing Huang, Yingguo Bai, Xing Qin, Yaru Wang, Bin Yao, Yuan Wang, Xiaolu Wang
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引用次数: 0

摘要

γ-氨基丁酸(GABA)广泛应用于食品、饲料、制药、化工等领域。此前,我们开发了一种全细胞催化剂,通过在大肠杆菌BL21(DE3)中过表达芽孢杆菌Z11的谷氨酸脱羧酶基因(gadz11),将l -谷氨酸(L-Glu)转化为GABA。然而,为了提高细胞的通透性,需要进行冻融处理,并且为了提高GADZ11的活性,必须在反应体系中加入吡哆醛5 ' -磷酸(PLP)。本研究的目的是通过对上述重组大肠杆菌进行工程改造,为GABA的生产提供一种更有效的途径。首先,将gadz11在大肠杆菌中的诱导表达条件优化至37℃,培养6 h。然后,通过过表达sulA增加细胞通透性,构建自给系统消除对PLP的依赖,获得理想的工程菌株。此外,优化了一种高效的全细胞生物催化工艺。最佳底物浓度、细胞密度和反应温度分别为1.0 mol/L (L-谷氨酸与L-味精的分子比为4:1)、15℃和37℃。最后,在最佳条件下,在3-L生物反应器中进行全细胞生物转化。该菌株可重复使用至少2个循环,GABA产率、生产力和转化率分别为206.2 g/L、117.8 g/L/h和100.0%。这是目前报道的在不添加辅助因子或对细胞进行额外处理的情况下,从l -谷氨酸和l -味精混合物中获得的最高GABA产量。这项工作表明,新的工程大肠杆菌菌株具有在大规模工业生产中应用的潜力。
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Efficient production of γ-aminobutyric acid using engineered Escherichia coli whole-cell catalyst

γ-Aminobutyric acid (GABA) has been widely used in the food, feed, pharmaceutical, and chemical industry fields. Previously, we developed a whole-cell catalyst capable of converting L-glutamate (L-Glu) into GABA by overexpressing the glutamate decarboxylase gene (gadz11) from Bacillus sp. Z11 in Escherichia coli BL21(DE3). However, to enhance cell permeability, a freeze-thaw treatment is required, and to enhance GADZ11 activity, pyridoxal 5′-phosphate (PLP) must be added to the reaction system. The aim of this study is to provide a more efficient approach for GABA production by engineering the recombinant E. coli above. First, the inducible expression conditions of the gadz11 in E. coli were optimized to 37 °C for 6 h. Next, an ideal engineered strain was produced via increasing cell permeability by overexpressing sulA and eliminating PLP dependence by constructing a self-sufficient system. Furthermore, an efficient whole-cell biocatalytic process was optimized. The optimal substrate concentration, cell density, and reaction temperature were 1.0 mol/L (the molecular ratio of L-Glu to L-monosodium glutamate (L-MSG) was 4:1), 15 and 37 °C, respectively. Finally, a whole-cell bioconversion procedure was performed in a 3-L bioreactor under optimal conditions. The strain could be reused for at least two cycles with GABA yield, productivity and conversion ratio of 206.2 g/L, 117.8 g/L/h and 100.0%, respectively. This is currently the highest GABA productivity from a mixture of L-Glu and L-MSG reported without the addition of cofactors or additional treatment of cells. This work demonstrates that the novel engineered E. coli strain has the potential for application in large-scale industrial GABA production.

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来源期刊
Enzyme and Microbial Technology
Enzyme and Microbial Technology 生物-生物工程与应用微生物
CiteScore
7.60
自引率
5.90%
发文量
142
审稿时长
38 days
期刊介绍: Enzyme and Microbial Technology is an international, peer-reviewed journal publishing original research and reviews, of biotechnological significance and novelty, on basic and applied aspects of the science and technology of processes involving the use of enzymes, micro-organisms, animal cells and plant cells. We especially encourage submissions on: Biocatalysis and the use of Directed Evolution in Synthetic Biology and Biotechnology Biotechnological Production of New Bioactive Molecules, Biomaterials, Biopharmaceuticals, and Biofuels New Imaging Techniques and Biosensors, especially as applicable to Healthcare and Systems Biology New Biotechnological Approaches in Genomics, Proteomics and Metabolomics Metabolic Engineering, Biomolecular Engineering and Nanobiotechnology Manuscripts which report isolation, purification, immobilization or utilization of organisms or enzymes which are already well-described in the literature are not suitable for publication in EMT, unless their primary purpose is to report significant new findings or approaches which are of broad biotechnological importance. Similarly, manuscripts which report optimization studies on well-established processes are inappropriate. EMT does not accept papers dealing with mathematical modeling unless they report significant, new experimental data.
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